Gamut Reduction Through Local Saturation Reduction. Color and Imaging Conference (CIC25).. 2017.
Gamut Mapping through Perceptually-based Contrast Reduction. 6th Pacific-Rim Symposium on Image and Video Technology.. 2013.
Gamut Mapping in Cinematography through Perceptually-based Contrast Modification. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Perception Inspired Video Processing.. 2014.
Gamut Mapping for Visual Attention Retargeting. Color and Imaging Conference (CIC25).. 2017.
Gamut Extension for Cinema: Psychophysical Evaluation of the State of the Art, and a New Algorithm. IS&T Electronic Imaging Conference.. 2015.
Gamut Extension for Cinema. IEEE Transactions on Image Processing.. 2017.
From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71). 2014.
Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting.. 2017.
Enhanced Variational Image Dehazing. SIAM Journal on Imaging Sciences (SIIMS).. 2015.
Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception .. 2015.
Duality Principle for Image Regularization and Perceptual Color Correction Models. Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM).. 2015.
On the Duality Between Retinex and Image Dehazing. *Accepted* in Computer Vision and Pattern Recognition (CVPR).. 2018.
Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
Denoising an Image by Denoising its Components in a Moving Frame. International Conference on Image and Signal Processing (ICISP). *Best Paper Award*.. 2014.
A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing.. 2015.
On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences (SIIMS).. 2014.
A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations. Scale Space and Variational Methods in Computer Vision (SSVM2019).. 2019.
Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.. 2016.
Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR).. 2019.
A Contrario Selection of Optimal Partitions for Image Segmentation. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
Considering saliency in a perception inspired gamut reduction algorithm. Color and Imaging Conference.. 2014.
Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference.. 2016.
A connection between image processing and artificial neural networks layers through a geometric model of visual perception. Scale Space and Variational Methods in Computer Vision (SSVM2019).. 2019.